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Mashup Score: 0
Background The gap between research findings and clinical practice is well documented and a range of strategies have been developed to support the implementation of research into clinical practice. The objective of this study was to update and extend two previous reviews of systematic reviews of strategies designed to implement research evidence into clinical practice. Methods We developed a comprehensive systematic literature search strategy based on the terms used in the previous reviews to identify studies that looked explicitly at interventions designed to turn research evidence into practice. The search was performed in June 2022 in four electronic databases: Medline, Embase, Cochrane and Epistemonikos. We searched from January 2010 up to June 2022 and applied no language restrictions. Two independent reviewers appraised the quality of included studies using a quality assessment checklist. To reduce the risk of bias, papers were excluded following discussion between all members of
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Mashup Score: 0Ten years of implementation outcomes research: a scoping review - Implementation Science - 2 month(s) ago
Background Proctor and colleagues’ 2011 paper proposed a taxonomy of eight implementation outcomes and challenged the field to address a research agenda focused on conceptualization, measurement, and theory building. Ten years later, this paper maps the field’s progress in implementation outcomes research. This scoping review describes how each implementation outcome has been studied, research designs and methods used, and the contexts and settings represented in the current literature. We also describe the role of implementation outcomes in relation to implementation strategies and other outcomes. Methods Arksey and O’Malley’s framework for conducting scoping reviews guided our methods. Using forward citation tracing, we identified all literature citing the 2011 paper. We conducted our search in the Web of Science (WOS) database and added citation alerts sent to the first author from the publisher for a 6-month period coinciding with the WOS citation search. This produced 1346 titles
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Ten years of implementation outcomes research: a scoping review https://t.co/sebdSLrahd via @enola_proctor et al
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Mashup Score: 27Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions - Implementation Science - 3 month(s) ago
Background The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although implementation science has contributed much toward bridging this gap, the evidence-to-practice chasm remains a challenge. There are some key aspects of implementation science in which advances are needed, including speed and assessing causality and mechanisms. The increasing availability of artificial intelligence applications offers opportunities to help address specific issues faced by the field of implementation science and expand its methods. Main text This paper discusses the many ways artificial intelligence can address key challenges in applying implementation science methods while also considering potential pitfalls to the use of artificial intelligence. We answer the questions of “why” the field of implementation science should consider artificial intelligence, for “what” (the purpose and methods), a
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.@ImplementSci: Experts offer recommendations & resources on how to responsibly integrate artificial intelligence into #ImpSci methods, including transdisciplinary collaboration & proactive monitoring for and mitigation of potential unintended consequences https://t.co/SAyXT1TxkH https://t.co/0Mq6f3YlPz
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Mashup Score: 0Understanding the public’s role in reducing low-value care: a scoping review - Implementation Science - 3 month(s) ago
Background Low-value care initiatives are rapidly growing; however, it is not clear how members of the public should be involved. The objective of this scoping review was to systematically examine the literature describing public involvement in initatives to reduce low-value care. Methods Evidence sources included MEDLINE, EMBASE, and CINAHL databases from inception to November 26, 2019, grey literature (CADTH Tool), reference lists of included articles, and expert consultation. Citations were screened in duplicate and included if they referred to the public’s perception and/or involvement in reducing low-value care. Public included patients or citizens without any advanced healthcare knowledge. Low-value care included medical tests or treatments that lack efficacy, have risks that exceed benefit, or are not cost-effective. Extracted data pertained to study characteristics, low-value practice, clinical setting, and level of public involvement (i.e., patient-clinician interaction, resea
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Understanding the public’s role in reducing low-value care: a scoping review https://t.co/EbrjwdWu1y via @dan_niven et al
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Mashup Score: 13Action planning for building public health program sustainability: results from a group-randomized trial - Implementation Science - 3 month(s) ago
Background Public health programs are charged with implementing evidence-based interventions to support public health improvement; however, to achieve long-term population-based benefits, these interventions must be sustained. Empirical evidence suggests that program sustainability can be improved through training and technical assistance, but few resources are available to support public health programs in building capacity for sustainability. Methods This study sought to build capacity for sustainability among state tobacco control programs through a multiyear, group-randomized trial that developed, tested, and evaluated a novel Program Sustainability Action Planning Model and Training Curricula. Using Kolb’s experiential learning theory, we developed this action-oriented training model to address the program-related domains proven to impact capacity for sustainability as outlined in the Program Sustainability Framework. We evaluated the intervention using a longitudinal mixed-effect
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.@ImplementSci: #Training materials provided to broad public health audiences are associated with⬆️sustainability of evidence-based practices. Effects of #CDC-recommended funding & @LungAssociation smoke-free scores were small but statistically significant https://t.co/HcxyMmueX7 https://t.co/pKrB1vCU8H
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Mashup Score: 3Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms - Implementation Science - 5 month(s) ago
Background Unwarranted clinical variation in hospital care includes the underuse, overuse, or misuse of services. Audit and feedback is a common strategy to reduce unwarranted variation, but its effectiveness varies widely across contexts. We aimed to identify implementation strategies, mechanisms, and contextual circumstances contributing to the impact of audit and feedback on unwarranted clinical variation. Methods Realist study examining a state-wide value-based healthcare program implemented between 2017 and 2021 in New South Wales, Australia. Three initiatives within the program included audit and feedback to reduce unwarranted variation in inpatient care for different conditions. Multiple data sources were used to formulate the initial audit and feedback program theory: a systematic review, realist review, program document review, and informal discussions with key program stakeholders. Semi-structured interviews were then conducted with 56 participants to refute, refine, or confi
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Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms https://t.co/6Fc4w7kqCN via @MitchellSarkies et al @sib313 https://t.co/PT5H6iQAuA
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Mashup Score: 19
Background Increased breast density augments breast cancer risk and reduces mammography sensitivity. Supplemental breast MRI screening can significantly increase cancer detection among women with dense breasts. However, few women undergo this exam, and screening is consistently lower among racially minoritized populations. Implementation strategies informed by behavioral economics (“nudges”) can promote evidence-based practices by improving clinician decision-making under conditions of uncertainty. Nudges directed toward clinicians and patients may facilitate the implementation of supplemental breast MRI. Methods Approximately 1600 patients identified as having extremely dense breasts after non-actionable mammograms, along with about 1100 clinicians involved with their care at 32 primary care or OB/GYN clinics across a racially diverse academically based health system, will be enrolled. A 2 × 2 randomized pragmatic trial will test nudges to patients, clinicians, both, or neither to pro
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.@NIHfunding: Protocol paper in @ImplementSci: #Efectiveness of behavioral #economics-informed #implementation strategies to promote evidence-based interventions. #BreastCancer #NCI #ImpSci #Nudge #RCT @theNCI @NCIDAChambers @NCIprevention @NIH #Pragmatic https://t.co/9zyaiYJRJM https://t.co/lBkU7Hmtz9
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Mashup Score: 42Eight characteristics of rigorous multilevel implementation research: a step-by-step guide - Implementation Science - 6 month(s) ago
Background Although healthcare is delivered in inherently multilevel contexts, implementation science has no widely endorsed methodological standards defining the characteristics of rigorous, multilevel implementation research. We identify and describe eight characteristics of high-quality, multilevel implementation research to encourage discussion, spur debate, and guide decision-making around study design and methodological issues. Recommendations Implementation researchers who conduct rigorous multilevel implementation research demonstrate the following eight characteristics. First, they map and operationalize the specific multilevel context for defined populations and settings. Second, they define and state the level of each construct under study. Third, they describe how constructs relate to each other within and across levels. Fourth, they specify the temporal scope of each phenomenon at each relevant level. Fifth, they align measurement choices and construction of analytic varia
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.@ImplementSci: @NIH-funded, open-access step‑by‑step guide shares 8 characteristics that provide #benchmarks for evaluating the quality, rigor, replicability of multilevel #implementation research. @Rsbeidas @MSSatNU @NUFeinbergMed @NU_IPHAM #ImpSci Read: https://t.co/uGsOKuX7bb https://t.co/v2AX0b0dUs
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Mashup Score: 37A scoping review of frameworks in empirical studies and a review of dissemination frameworks - Implementation Science - 7 month(s) ago
Background The field of dissemination and implementation (D&I) research has grown immensely in recent years. However, the field of dissemination research has not coalesced to the same degree as the field of implementation research. To advance the field of dissemination research, this review aimed to (1) identify the extent to which dissemination frameworks are used in dissemination empirical studies, (2) examine how scholars define dissemination, and (3) identify key constructs from dissemination frameworks. Methods To achieve aims 1 and 2, we conducted a scoping review of dissemination studies published in D&I science journals. The search strategy included manuscripts published from 1985 to 2020. Articles were included if they were empirical quantitative or mixed methods studies about the dissemination of information to a professional audience. Studies were excluded if they were systematic reviews, commentaries or conceptual papers, scale-up or scale-out studies, qualitative or case s
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.@ImplementSci: @BaumannAna at @WUSTL and colleagues provide a critical step in the #dissemination research literature by offering suggestions on how to define dissemination research & by cataloging & defining dissemination constructs. #DIRH #ImpSci Read: https://t.co/FElemGbHlg https://t.co/xkrDdvvFbH
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Mashup Score: 2
Background De-implementation of low-value care can increase health care sustainability. We evaluated the reporting of direct costs of de-implementation and subsequent change (increase or decrease) in health care costs in randomized trials of de-implementation research. Methods We searched MEDLINE and Scopus databases without any language restrictions up to May 2021. We conducted study screening and data extraction independently and in duplicate. We extracted information related to study characteristics, types and characteristics of interventions, de-implementation costs, and impacts on health care costs. We assessed risk of bias using a modified Cochrane risk-of-bias tool. Results We screened 10,733 articles, with 227 studies meeting the inclusion criteria, of which 50 included information on direct cost of de-implementation or impact of de-implementation on health care costs. Studies were mostly conducted in North America (36%) or Europe (32%) and in the primary care context (70%). Th
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.@ImplementSci: De-implementation #RCTs typically did not report direct costs of de-implementation strategies (92%) or impacts on #HealthCare costs (81%). Lack of #cost information may limit the value of de-implementation trials to #decision-makers. Read: https://t.co/XBqvceOmF8
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‘It depends’: what 86 systematic reviews tell us about what strategies to use to support the use of research in clinical practice https://t.co/Ku7uHR9Lxf via @AnnetteBoaz et al